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Chapter and Conference Paper
Head and Neck Primary Tumor Segmentation Using Deep Neural Networks and Adaptive Ensembling
The ability to accurately diagnose and analyze head and neck (H&N) tumors in head and neck cancer (HNC) is critical in the administration of patient specific radiation therapy treatment and predicting patient ...
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Chapter and Conference Paper
Multidimensional and Multiresolution Ensemble Networks for Brain Tumor Segmentation
In this work, we developed multiple 2D and 3D segmentation models with multiresolution input to segment brain tumor components and then ensembled them to obtain robust segmentation maps. Ensembling reduced ove...